Rescaling layer - Keras
keras.io › api › layersA preprocessing layer which rescales input values to a new range. This layer rescales every value of an input (often an image) by multiplying by scale and adding offset. For instance: To rescale an input in the [0, 255] range to be in the [0, 1] range, you would pass scale=1./255.
tf.keras.layers.Rescaling | TensorFlow Core v2.7.0
www.tensorflow.org › tf › kerasDec 23, 2021 · For instance: To rescale an input in the [0, 255] range to be in the [0, 1] range, you would pass scale=1./255. To rescale an input in the [0, 255] range to be in the [-1, 1] range, you would pass scale=1./127.5, offset=-1. The rescaling is applied both during training and inference. For an overview and full list of preprocessing layers, see ...